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Measuring Latency in Location Based ServicesA Public Safety Perspective

Published

Author(s)

Casey R. Baer, Vihang S. Jani

Abstract

Location-based services (LBS) that are able to determine accurately and precisely the location of a first responder are of great interest to public safety organizations. LBS asset positioning is currently not dependent upon network and system performance. In order to enhance LBS asset positioning and provide a greater level of accuracy, it is possible to utilize the measured operational latency of a LBS system and incorporate this metric when viewing LBS data. In addition to the uncertainty provided by a black box LBS device, stale data results in additional position uncertainty due to position changes that may have occurred during this time window. This paper presents a framework for measuring the elapsed time between when a position is determined by a LBS reporting client and when this position is ultimately processed and interpreted by a display client as part of a multiuser LBS system. Furthermore, a heuristic based approach which provides a new position measurement uncertainty radius by computing recent average speed and measuring delays between the LBS reporting client and LBS display client is described and demonstrated.
Proceedings Title
2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN)
Conference Dates
October 4-7, 2016
Conference Location
Alcalá de Henares (Madrid), ES

Keywords

latency, performance profiling, Android, Location Based Services, public safety, positioning, error radius, network and application optimization

Citation

Baer, C. and Jani, V. (2016), Measuring Latency in Location Based ServicesA Public Safety Perspective, 2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN) , Alcalá de Henares (Madrid), ES, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=921455 (Accessed October 5, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created October 7, 2016, Updated December 16, 2021